There is more to economic - financial newspapers than the reporting of what happened yesterday in the markets.

Every day the financial newspapers present us a striking array of “forward looking statements”, ranging from economic forecasts based on mathematical models issued by central banks and other financial institutions down to the informal guesses and speculations on the future behavior of individual market players based on a variety of signals and rumors. These predictive statements are presented with different degrees of certainty and typically made relative to conditional scenarios.

This research project studies how the uncertainty of predictive statements deriving from future decisions and undisclosed information, and the probabilistic nature of forecasts, are translated into natural language expressions of modality, and how the choice of linguistic modal expressions is correlated with the type of evidence supporting the prediction, with the structure of the argumentation and with the source of information.